Triple
T14330140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultium Cells |
E355322
|
entity |
| Predicate | suppliesProductType |
P90900
|
FINISHED |
| Object | traction batteries for electric vehicles |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: traction batteries for electric vehicles | Statement: [Ultium Cells, suppliesProductType, traction batteries for electric vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppliesProductType Context triple: [Ultium Cells, suppliesProductType, traction batteries for electric vehicles]
-
A.
typeOfProducts
chosen
Indicates the kinds or categories of products that are associated with or offered by an entity.
-
B.
suppliesIndustry
Indicates that one entity provides goods, services, or resources to support the operations or needs of an industry or industrial sector.
-
C.
suppliedMaterialType
Indicates the type or category of material that is provided or supplied in a given context.
-
D.
suppliesTo
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
E.
appliesToProductType
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.